A Comprehensive Survey on Graph Neural Networks

• Extending the landscape of omics technologies by pathomics

  2023 npj Systems Biology and Applications article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

  79

  citations
• Some Might Say All You Need Is Sum

  2023 International Joint Conference on Artificial Intelligence conference-paper Computer Science Advanced Graph Neural Networks Open access

  4

  citations
• A community effort to discover small molecule SARS-CoV-2 inhibitors

  2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

  1

  citations
• Graph neural networks for the prediction of molecular structure-property relationships

  2022 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

  2

  citations
• Interacting brains revisited: A cross‐brain network neuroscience perspective

  2022 Human Brain Mapping article Neuroscience Functional Brain Connectivity Studies Open access

  9

  citations
• Graph Machine Learning for Design of High-Octane Fuels

  2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Signal Processing on Simplicial Complexes

  2022 Understanding complex systems book-chapter Computer Science Topological and Geometric Data Analysis

  21

  citations
• The Logic of Graph Neural Networks

  2021 Proceedings - Symposium on Logic in Computer Science conference-paper Computer Science Advanced Graph Neural Networks Open access

  50

  citations
• Signal processing on higher-order networks: Livin’ on the edge... and beyond

  2021 Signal Processing article Computer Science Advanced Graph Neural Networks Open access

  149

  citations
• Interacting brains revisited: A cross-brain network neuroscience perspective

  2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Functional Brain Connectivity Studies Open access

  4

  citations
• Graph Learning with 1D Convolutions on Random Walks.

  2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

  5

  citations
• New Ideas and Trends in Deep Multimodal Content Understanding: A Review

  2020 Neurocomputing article Computer Science Multimodal Machine Learning Applications Open access cited by 2 patents

  44

  citations
• New Ideas and Trends in Deep Multimodal Content Understanding: A Review

  2020 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

  3

  citations
• word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data

  2020 ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS) conference-paper Computer Science Advanced Graph Neural Networks Open access cited by 2 patents

  179

  citations

14 results